Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add autoclaw-cc/xiaohongshu-mcp-skills --skill xhs-content-plangit clone --depth 1 https://github.com/autoclaw-cc/xiaohongshu-mcp-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-content-plan)<a href="https://agentmods.dev/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-content-plan"><img src="https://agentmods.dev/badge/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-content-plan/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-content-plan"><img src="https://agentmods.dev/badge/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-content-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00077 | $0.00333 |
| Opus 5 | $0.00039 | $0.00167 |
| Sonnet 5 | $0.00015 | $0.00067 |
| Haiku 4.5 | $0.00008 | $0.00033 |
Grade A, and why
xhs-content-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
执行流程
1. 明确策划需求
向用户了解：
- 目标领域/赛道（如：美妆、旅行、美食）
- 策划目的：选题灵感 / 竞品分析 / 热门趋势
2. 搜索分析
根据需求调用 search_feeds 搜索相关内容：
- 使用不同关键词多次搜索覆盖领域
- 利用
sort_by筛选：最多点赞（爆款）、最新（趋势）
对高互动笔记，调用 get_feed_detail 获取详情，分析：
- 标题写法和关键词
- 内容结构和篇幅
- 话题标签使用
- 评论区用户关注点
如需分析特定博主，调用 user_profile 查看其内容风格和数据表现。
3. 输出策划建议
整理分析结果，为用户提供：
- 热门选题方向
- 标题参考模板
- 推荐话题标签
- 内容结构建议
约束
- 这是只读分析 skill，不执行任何发布或互动操作
- 搜索操作需要已登录状态
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 42 lines · 77 tokens per session scan A 29a6fcfecf7e
xhs-content-plan is a skill published in the GitHub repository autoclaw-cc/xiaohongshu-mcp-skills (257 stars, last pushed 6mo ago), licensed MIT. It adds 77 tokens to every session and 333 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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